CN105096063A - Bid evaluation expert management method and system thereof - Google Patents

Bid evaluation expert management method and system thereof Download PDF

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CN105096063A
CN105096063A CN201510638343.5A CN201510638343A CN105096063A CN 105096063 A CN105096063 A CN 105096063A CN 201510638343 A CN201510638343 A CN 201510638343A CN 105096063 A CN105096063 A CN 105096063A
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expert
segmentation
experts database
database server
request
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阮民
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Chengdu Edwards Communication Technology Co Ltd
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Abstract

The invention relates to data management technology, and aims to settle the problems of low utilization rate, incapability of finely dividing professional fields of experts, incapability of evaluating professional degrees of the experts and low efficiency in drawing and screening experts in an existing bid evaluation expert management system. The invention provides the bid evaluation expert management system which comprises the components of a universal expert database server which is used for receiving and finishing a registering request that is initialized by an expert and transmits registering information to a subdivision expert database server in performing subdivision expert authentication on the experts; the subdivision expert database server which is used for performing authentication when the expert in the universal expert database server initiates subdivision expert authentication, and finishing three-kind matching between an expert demander and subdivided experts when the expert demander selects the subdivided experts for performing bid evaluation; and an interface server which is used for forwarding data and providing a system management interface of a manager. The invention further provides a bid evaluation expert management method which is suitable for management of bid evaluation experts and extended application of the bid evaluation expert database.

Description

Management of bidding evaluation expert method and system thereof
Technical field
The present invention relates to data management technique, particularly a kind of management of bidding evaluation expert method.
Background technology
According to the regulation of " People's Republic of China's the Law on Public Bidding ", large scale engineering construction project, the project using the government procurement project of state-owned fund and use international organization to provide a loan, open bidding must be carried out, the bid evaluation committee be made up of bidding professor evaluates in detail the tender documents of each tenderer and compares, final decision candidate winning bidder.
In order to fair and just, by voice call, bidding professor generally by bid inviter's random anonymous extraction from the evaluation expert base of government's division management, notifies that this expert attends, after evaluation terminates, bid inviter gives the assessment of bids service charge of the certain number of bidding professor, is generally by 150 yuan of payings per hour.
The experts database of current government department management, be mainly divided into two kinds, for Sichuan Province, one is managed " Sichuan Province's comprehensive bid evaluation experts database " by the Committee of Development and Reform of Sichuan Province, wherein probably has 10000 experts; Another is managed " Sichuan Province's government procurement evaluation expert base " by General Office of Finance of Sichuan Province, wherein probably has 20000 experts.The expert of the whole province's all trades and professions, all can participate in the registration of above-mentioned two experts databases, examination & verification and examination, and eligible can typing experts database get bidding professor qualification certificate.
The assessment of bids of engineering construction class project for bidding, generally participates in the assessment of bids by bid inviter random anonymous expert extracting relevant speciality from " Sichuan Province's comprehensive bid evaluation experts database "; The assessment of bids of government procurement class project for bidding, generally participates in the assessment of bids by bid inviter random anonymous expert extracting relevant speciality from " Sichuan Province's government procurement evaluation expert base ".
, in actual moving process, there is following problem in the evaluation expert base of above-mentioned government organs supervisor:
One, the utilization factor of expert is not high.Whenever having Larger Engineering Projects or government procurement project, the bid talent extracts expert and participates in the assessment of bids from experts database, and this causes every expert approximately to only have weekly twice chance to attend assessment of bids project, Expert Resources significant wastage; Meanwhile, there is the occasion of a large amount of non-bid in all trades and professions, also expert is needed to attend, such as Product Appraisal Meeting, project feasibility symposial, bid consultation meeting, project appraisal meeting and tender documents preliminary hearing, constituent parts recruit senior technical adviser etc., owing to having no right to use the experts database of government organs, have to the mode relying on acquaintance to introduce each other, toss about in bed to invite all kinds of expert to attend.
Two, the professional domain of expert cannot be segmented.The professional domain of expert, that expert is when submitting warehouse-in application form to, the special subject edition (seeing appendix " Sichuan Province's evaluation expert base professional classification standard ") specified according to National Development and Reform Committee is from main separation, such as certain geology expert, can A03 be selected to reconnoitre in a professional class, again in the professional two class A0304 hydrometeorology prospectings of its lower selection, and then under it, professional three class A030402 marine hydrologies are selected to reconnoitre.The expert parties in request such as bid inviter, according to the technical characterstic of this project, cannot do more deep refinement screening to the professional domain of expert, cause the expert extracted, sometimes cannot mate this Project Technical demand completely.
Three, the professional degree of expert cannot be assessed.The professional degree of expert relies on the modes such as the diploma of expert's submission, academic title's certificate, bidding professor certification and work experience to give indirect acknowledgment.In whole management of bidding evaluation expert process, the judge of objective and fair cannot be made to the professional degree of expert or the professional degree of depth, cause having in experts database part expert arbitrarily to declare my specialty and there is the situation that part expert is an incompetent person or a person unequal to his task.
Four, the extraction screening mode poor efficiency of expert falls behind.The extraction of expert, takes the mode of Stochastic choice, therefore the expert that A city often occurs is selected to the assessment of bids of B city, and meanwhile, with the selected situation to A city of expert in the B city of specialty, resource mispairing happens occasionally.In addition, existing evaluation expert base system is an off-line system, whether convenient experts database managerial personnel cannot grasp expert at present residing geographic position the and currently real-time information such as to attend nearby when choosing expert, cause the expert chosen often cannot arrive apart from too far away on time.
Summary of the invention
For the problems referred to above, the invention provides a kind of management of bidding evaluation expert method, comprise the steps:
A. all kinds of expert uses the general experts database server of client logs to register, and selects professional three classes accordingly, after system audit, becomes the real-name authentication bidding professor in general experts database;
If the real-name authentication bidding professor initiative B. in general experts database upgrades to segmentation expert, general experts database server sends log-on message and the upgrade request of this expert to segmentation experts database server, whether segmentation experts database server searches this expert in the server according to the log-on message of this expert is segment the expert in experts database, if not, enter step C, if this expert has been the segmentation expert in segmentation experts database, then system sends announcement information to expert, informs that expert is with without the need to carrying out certification;
C. segment experts database server and send segmentation expert authentication notification to the client that this expert uses, after expert determines to carry out segmentation expert certification, complete and segment the quantification identifying procedure between experts database server by this client, the scalable segmentation expert become in segmentation experts database in authentication success rear;
D. expert party in request uses the client of oneself to select the general expert in general experts database or the segmentation expert in segmentation experts database according to demand, system according to expert party in request submit to specialty three class or key problem in technology word mate, the general expert matched if exist or segmentation expert, the log-on message of the expert that this matches by system is pushed to the client of expert party in request, and expert party in request selects most suitable expert to attend Bid Evaluation according to expert's log-on message.Expert party in request carries out except Bid Evaluation except the most suitable expert of selection, and selected expert can also be invited to attend other professional work matched with its specialty, such as appraisal meeting, discussion etc.
Particularly, in step C, expert is realized by professional key word algorithm program EKWP (ExpertiseKeyWordsProgram) by the authentication method between client and segmentation SAVANT, EKWP is an algorithm routine being built in segmentation experts database server, and this algorithm routine comprises the steps:
In step C, expert quantizes identifying procedure by the segmentation expert between client and segmentation experts database server and comprises the steps:
C1. expert chooses according to specialty three class of segmentation experts database server push;
C2. after select expert specialty three classes, for each specialty three class, segmentation experts database server sends information to client, the key problem in technology word relevant to selected specialty three class requiring expert to input some;
C3. segment key problem in technology word that expert inputs by experts database server with store in server to the key problem in technology dictionary of professional three classes should searching and mate, if fit through, then these professional three class certifications are passed through;
C4. repeat step C2 and C3, until institute selectively professional three class certifications complete, this expert upgrading is become the segmentation expert in segmentation experts database by segmentation experts database server.
Particularly, in step C1, specialty three class that expert carries out choosing according to specialty three class of segmentation experts database server push is no more than 5.
Particularly, in step C2, described some is 30 to 100; In step C3, when the key problem in technology word of expert's input has at least 90% to fit through time corresponding with the key problem in technology word in key problem in technology dictionary.
Particularly, in step C3, if coupling is not passed through, the client that segmentation experts database server uses to this expert sends information, notify that expert re-enters 30 to 100 key problem in technology words, after the number of times re-entering key problem in technology word exceedes set point number, segmentation experts database server forbids that this expert carries out certification to these professional three classes.Expert, when first time input technology keyword, owing to describing custom or other reason, the Keywords matching once inputted may be caused not pass through, and in fact, this expert is the expert of these professional three classes really.For preventing above-mentioned situation from causing expert cannot complete the certification of these professional three classes, segmentation experts database server is when accepting checking, and allow expert repeatedly to carry out checking input, the set point number of checking generally by managerial personnel's sets itself, can all can for general 3 to 7 times.
Particularly, in step C3, if search the key problem in technology word that there is not expert's input in coupling discovery technique keywords database, then this non-existent key problem in technology word adds in key problem in technology dictionary by system.Accordingly, system memory size is taken for preventing long-term silent key problem in technology word, segmentation experts database server is regularly cleared up the key problem in technology word in described key problem in technology dictionary, if a certain key problem in technology word is not mentioned completely in setting-up time, system is removed automatically.
Particularly, step D specifically comprises:
D1. expert party in request uses the client of oneself to select the general expert in general experts database or the segmentation expert in segmentation experts database according to demand, if the general expert in general experts database selects in expert party in request, enter step D2, if the segmentation expert in segmentation experts database selects in expert party in request, enter step D3;
D2. specialty three class that system is submitted to according to expert party in request is mated in general experts database, if there is the general expert matched, the log-on message of the expert that this matches by system is pushed to the client of expert party in request, and expert party in request selects expert to carry out the assessment of bids according to expert's log-on message;
D3. specialty three class just submitted to according to demand of system and key problem in technology word mate in segmentation experts database, segmentation experts database server mates obtaining the key problem in technology vocabulary passed through during the certification with segmentation experts all under these professional three classes in key problem in technology dictionary of specialty three class of described demand and the key problem in technology word of demand, the log-on message of former the highest for matching rate experts is pushed to the client of expert party in request by system, and more suitable expert alternatively expert selects according to expert's log-on message in expert party in request.
Expert party in request selects the concrete grammar of expert also to comprise according to expert's log-on message: expert party in request carries out communication negotiation according to the home geographic location information in expert's log-on message and the nearest and online expert of presence chosen distance, described presence is divided into online and online, to be set and upload by expert according to actual conditions by the client of oneself.
Further, when native system is applied to business, expert and expert party in request consult respectively by respective client communication, and after determining relation between supply and demand, expert party in request is defined in alignment system operator according to reimbursement of expense and pays corresponding system usage charges; After expert completes Bid Evaluation or other professional work, expert party in request pays corresponding fee for showing up according to reimbursement of expense regulation to expert and uses.
In the present invention, described log-on message comprises the Real Name of expert, professional domain, telephone number and home geographic location information, expert personal identification papers pros and cons photo, diploma full face, government procurement evaluation expert certificate photo and comprehensive bid evaluation expert certificate photo.
The present invention also provides a kind of management of bidding evaluation expert system being specifically applied to said method, comprise general experts database server, segmentation experts database server, interface server and client, described client is by interface server and general experts database server and segment experts database server and be connected, described general experts database server with segment experts database server and be connected;
Described interface server, for general experts database server and the data retransmission between segmentation experts database server and client, for managerial personnel provide management interface.
Particularly, described client is intelligent mobile terminal or computing machine, and described intelligent mobile terminal is smart mobile phone or panel computer.
Because native system is for management of bidding evaluation expert method of the present invention, therefore its general experts database server comprised, segmentation experts database server and client have possessed the same function of general experts database server in management of bidding evaluation expert method, segmentation experts database server and client.
The invention has the beneficial effects as follows: management of bidding evaluation expert method provided by the invention, make all trades and professions between the individual demand of expert and huge expert team, specialty screening and region coupling can be completed on line fast.Both met the demand of all trades and professions to expert, and also improved the sparetime income of expert team and the enthusiasm of contribution waste heat, also greatly improve social operation efficiency.By providing a set of authentication method to carry out segmentation certification to expert, this makes expert party in request just can search out oneself really need, qualified, high-caliber expert on line.
Embodiment below in conjunction with embodiment is described in further detail technical scheme of the present invention; should be noted that; the application example that embodiment is only used to help reader to understand technical conceive of the present invention better and exemplifies, it is not in order to limit the protection domain of the claims in the present invention.
Accompanying drawing explanation
Fig. 1 is the theory diagram of management of bidding evaluation expert system of the present invention.
Embodiment
The problem that the utilization factor professional domain that is not high, expert that the present invention is directed to existing management of bidding evaluation expert systems specialists cannot be segmented, the professional degree of expert cannot be assessed and the extraction screening mode poor efficiency of expert falls behind, a kind of management of bidding evaluation expert system is provided, as shown in Figure 1, this system comprises general experts database server, segmentation experts database server, interface server and client, described interface server respectively with general experts database server, segment experts database server and client's side link, described general experts database server is connected with segmentation experts database server; General experts database server, for receiving and completing the registration request that expert initiates, when expert carries out segmentation expert certification to segmentation experts database server transmission expert log-on message; Segmentation experts database server, initiates certification when segmenting expert's certification for the expert in general experts database server, when segmentation expert evaluating is selected by expert party in request, completes mating of professional three classes between expert party in request with segmentation expert; Interface server, for general experts database server and the data retransmission between segmentation experts database server and client, for managerial personnel provide management interface.Client is used for the information input of expert or expert party in request, and and server between information interaction.
First management of bidding evaluation expert method corresponding to said system comprise the steps:, all kinds of expert uses the general experts database server of client logs to register, select professional three classes accordingly, after system audit, become the real-name authentication bidding professor in general experts database, then, real-name authentication bidding professor in general experts database, after service certain time limit, initiative upgrades to segmentation expert, now, general experts database server sends log-on message and the upgrade request of this expert to segmentation experts database server, whether segmentation experts database server searches this expert in the server according to the log-on message of this expert is segment the expert in experts database, if not, enter step, segmentation experts database server sends segmentation expert authentication notification to the client that this expert uses, after expert determines to carry out segmentation expert certification, complete and segment the quantification identifying procedure between experts database server by this client, the scalable segmentation expert become in segmentation experts database in authentication success rear, finally, expert party in request uses the client of oneself to select the general expert in general experts database or the segmentation expert in segmentation experts database according to demand, system according to expert party in request submit to specialty three class or key problem in technology word mate, the general expert matched if exist or segmentation expert, the log-on message of the expert that this matches by system is pushed to the client of expert party in request, and expert party in request selects most suitable expert to carry out the assessment of bids according to expert's log-on message.
Embodiment
The management of bidding evaluation expert system of the present invention's design, comprise general experts database server, segmentation experts database server and interface server, and the mobile terminal of " all-round experts database " APP is installed, " all can experts database " APP is the client mentioned by the present invention.
General experts database server, for registration and the management of general expert.Can also log in general experts database server by expert's identity registration after expert's mobile terminal installation " all-round experts database " APP, real name expert is registered as according to my Real Name, mobile phone, home address, then personal identification papers's pros and cons photo, diploma full face, government procurement evaluation expert certificate photo, comprehensive bid evaluation expert certificate photo is uploaded, and fill in my basic condition online according to real name expert application form, and according to the professional domain that I is familiar with, choose corresponding specialty one class, professional two classes and professional three classes.
Segmentation experts database server, for segmenting certification and the management of expert.Only obtain the expert of general experts database expert qualification, after the full certain hour of service, just have permission access segmentation experts database, application segmentation expert certification becomes the expert in segmentation experts database, by the expert that professional technique key word algorithm program EKWP (ExpertiseKeyWordsProgram) on-line testing is qualified, segmentation experts database certification expert qualification can be obtained.Segmentation expert verification process is initiated after segmentation experts database server receives the request of the real-name authentication bidding professor in general experts database.
Interface server, is connected with internet with the data management in segmentation experts database server for general experts database server.The managerial personnel of " all-round experts database ", access and control described general experts database and described segmentation experts database by interface server.The managerial personnel of " all-round experts database ", are audited by interface server and information updating between transmitting system and expert.The managerial personnel of " all-round experts database ", are audited by interface server and information updating between transmitting system and expert party in request.
" all-round experts database " APP is a mobile terminal APP according to the present invention's exploitation.Expert by this APP, can uplink data to system, obtain expert's qualification; Expert party in request, by this APP, can access described general experts database server, and screening meets the general expert that oneself requires; Expert party in request, by this APP, can access described segmentation experts database server, and screening meets the segmentation expert that oneself requires.Expert, by this APP, can select to reach the standard grade or roll off the production line on mobile terminals, reaches the standard grade and represents that I am idle for following a period of time, can attend various paying activity, rolls off the production line and represents that I am busy for following a period of time, cannot attend the various pairs of assessments of bids and move.After completing specialty screening and region coupling between expert party in request and expert's individuality, both sides set up independent channel of communication by APP, and expert attends various activity according to the requirement of party in request, finishes the work, and gets the salary.In general, the fee for showing up segmenting expert is 1-2 times of general expert's fee for showing up; The managerial personnel of " all-round experts database " APP, according to the fee for showing up of the various expert of market situation dynamic conditioning, even can give the appearance subsidy of the certain number of popular expert, register to attract more multi-expert and register in this experts database.
" all-round experts database " APP is a mobile terminal APP according to the present invention's exploitation.General expert, by this APP, can screen in general experts database in expert party in request, further, and also can according to professional keyword screening segmentation expert in segmentation experts database.General expert, segmentation expert and the fee for showing up of special expert will be indicated in APP one by one.Fee for showing up is paid down the time for competiton to expert according to expert under expert party in request is online.Expert party in request pays experts database usage charges to all-round experts database operator according to the rule stated clearly in APP on line.
Specialty key word algorithm program EKWP (ExpertiseKeyWordsProgram), is an algorithm routine being built in segmentation experts database server, becomes the certification of segmentation expert for general expert.This algorithm comprises the following steps:
Step 1, expert, after obtaining general experts database authentication credential, just have permission access segmentation experts database server.After expert logs in segmentation experts database server, system requirements expert chooses specialty three class that I is familiar with, and every expert can choose at most 5 specialty three classes.
After step 2, expert choose specialty three class at every turn, such as choose the exploration of A030402 marine hydrology, a dialog box is ejected at interface immediately, require expert submit to 60 therewith professional three class A030402 marine hydrologies survey the key problem in technology word be closely related, expert according to oneself to the familiarity of this specialty and professional knowledge, insert arbitrarily 60 key problem in technology words, such as density of sea water, ocean temperature, seawater salinity, atmospheric humidity etc.After treating that 60 key problem in technology words are all filled in, expert just can click " submission " button, is audited by 60 keyword submission systems.
60 professional keywords that step 3, expert submit to, by with the professional keywords database comparison of these professional three classes that stores in segmentation experts database server, if what system discovery expert submitted to is the neologisms do not had in a keywords database, these neologisms are unconditionally added into professional keywords database.Software shows the result of 60 professional keywords and professional keyword pond comparison after contrast conting on EKWP interface: audit and pass through or audit not pass through.Described examination & verification by referring to 60 keywords that expert submits to, with find that there is behind keyword pond one by one comparison 55 and above can be corresponding.These professional three classes of this expert application obtain major fractionize certification and pass through.Described examination & verification, and can be corresponding to 55 behind keyword pond one by one comparison by referring to 60 keywords that expert submits to, and these professional three classes that this expert applies for do not obtain major fractionize certification and pass through.Expert can in several days of future such as 5 working days, weigh and consider and replace 60 keywords, in the hope of obtain examination & verification pass through.If 5 new " submissions " pass not yet, this expert will be forbidden applying for this professional three classes by system, this expert can only then other specialty three class of application.
Step 4, expert party in request are by terminal landing " all-round experts database " APP, can select to enter general experts database, if the expert in the general experts database of select expert carries out the assessment of bids, specialty three class that system is submitted to according to expert party in request is mated in general experts database, if there is the general expert matched, the log-on message of the expert that this matches by system is pushed to the client of expert party in request, and expert party in request selects expert to carry out the assessment of bids according to expert's log-on message.Expert party in request also can select the expert segmented in experts database to carry out the assessment of bids, after entering segmentation experts database, chooses specialty one class oneself needed at present, professional two classes and professional three classes.Often choosing specialty three class, by ejection dialog box, require the demand that party in request is current according to oneself, submitting to 12 professional keywords for describing the demand this time to expert's technical skill.Consider that expert party in request may not know and how to fill in 12 demand specialty keywords, interface is also designed with index frame, expert party in request only needs to input several index words, system is all listed keyword relevant therewith in these professional three class keywords storehouses, needs to select according to current techniques for expert party in request.After expert party in request inputs 12 professional keywords, click " submission " button, system is by the comparison coupling one by one of 60 keywords by each expert under these 12 keywords therewith professional three classes, and calculate matching degree, the expert that 12 demand keywords all can mate, its matching degree will be labeled as 100%.System will provide a expert's inventory that calculate gained, that arrange from high to low according to matching degree for expert party in request, expert party in request from then in inventory according to information such as professional matching degree, expert address, the current present positions of expert, selecting the expert meeting oneself needs, is oneself service.After selected bidding professor, expert party in request carries out communication negotiation by terminal APP and selected expert, determines concrete assessment of bids matters or other professional work matters.
Specialty keywords database is a pond dynamically updated in time.In step 2, this word pond of arbitrary new keyword unimpeded access that arbitrary expert submits to; In step 4, this word pond of arbitrary new keyword unimpeded access that arbitrary expert party in request submits to; In specialty keyword pond, some professional keywords, if continuous three months are not mentioned by arbitrary expert, also do not mentioned by arbitrary party in request, this word is deleted by EKWP automatically from key problem in technology dictionary.

Claims (14)

1. management of bidding evaluation expert method, is characterized in that, comprises the steps:
A. all kinds of expert uses the general experts database server of client logs to register, and selects professional three classes accordingly, after system audit, becomes the real-name authentication bidding professor in general experts database;
If the real-name authentication bidding professor initiative B. in general experts database upgrades to segmentation expert, general experts database server sends log-on message and the upgrade request of this expert to segmentation experts database server, whether segmentation experts database server searches this expert in the server according to the log-on message of this expert is segment the expert in experts database, if not, enter step C;
C. segment experts database server and send segmentation expert authentication notification to the client that this expert uses, after expert determines to carry out segmentation expert certification, complete and segment the quantification identifying procedure between experts database server by this client, the scalable segmentation expert become in segmentation experts database in authentication success rear;
D. expert party in request uses the client of oneself to select the general expert in general experts database or the segmentation expert in segmentation experts database according to demand, system according to expert party in request submit to specialty three class or key problem in technology word mate, the general expert matched if exist or segmentation expert, the log-on message of the expert that this matches by system is pushed to the client of expert party in request, and expert party in request selects most suitable expert to attend Bid Evaluation according to expert's log-on message.
2. management of bidding evaluation expert method as claimed in claim 1, is characterized in that, in step C, expert quantizes identifying procedure by the segmentation expert between client and segmentation experts database server and comprises the steps:
C1. expert chooses according to specialty three class of segmentation experts database server push;
C2. after select expert specialty three classes, for each specialty three class, segmentation experts database server sends information to client, the key problem in technology word relevant to selected specialty three class requiring expert to input some;
C3. segment key problem in technology word that expert inputs by experts database server with store in server to the key problem in technology dictionary of professional three classes should searching and mate, if fit through, then these professional three class certifications are passed through;
C4. repeat step C2 and C3, until institute selectively professional three class certifications complete, this expert upgrading is become the segmentation expert in segmentation experts database by segmentation experts database server.
3. management of bidding evaluation expert method as claimed in claim 2, is characterized in that, in step C1, specialty three class that expert carries out choosing according to specialty three class of segmentation experts database server push is no more than 5.
4. management of bidding evaluation expert method as claimed in claim 2, it is characterized in that, in step C2, described some is 30 to 100; In step C3, when the key problem in technology word of expert's input has at least 90% to fit through time corresponding with the key problem in technology word in key problem in technology dictionary.
5. management of bidding evaluation expert method as claimed in claim 2, it is characterized in that, in step C3, if coupling is not passed through, the client that segmentation experts database server uses to this expert sends information, notify that expert re-enters 30 to 100 key problem in technology words, after the number of times re-entering key problem in technology word exceedes set point number, segmentation experts database server forbids that this expert carries out certification to these professional three classes.
6. management of bidding evaluation expert method as claimed in claim 2, is characterized in that, in step C3, if search the key problem in technology word that there is not expert's input in coupling discovery technique keywords database, then this non-existent key problem in technology word adds in key problem in technology dictionary by system.
7. the management of bidding evaluation expert method as described in Claims 2 or 3 or 4 or 5 or 6, it is characterized in that, step D specifically comprises:
D1. expert party in request uses the client of oneself to select the general expert in general experts database or the segmentation expert in segmentation experts database according to demand, if the general expert in general experts database selects in expert party in request, enter step D2, if the segmentation expert in segmentation experts database selects in expert party in request, enter step D3;
D2. specialty three class that system is submitted to according to expert party in request is mated in general experts database, if there is the general expert matched, the log-on message of the expert that this matches by system is pushed to the client of expert party in request, and expert party in request selects expert to carry out the assessment of bids according to expert's log-on message;
D3. specialty three class just submitted to according to demand of system and key problem in technology word mate in segmentation experts database, segmentation experts database server mates obtaining the key problem in technology vocabulary passed through during the certification with segmentation experts all under these professional three classes in key problem in technology dictionary of specialty three class of described demand and the key problem in technology word of demand, the log-on message of former the highest for matching rate experts is pushed to the client of expert party in request by system, and more suitable expert alternatively expert selects according to expert's log-on message in expert party in request.
8. management of bidding evaluation expert method as claimed in claim 7, is characterized in that, in step D2 and step D3, expert party in request selects the concrete grammar of expert also to comprise according to expert's log-on message:
Expert party in request carries out communication negotiation according to the home geographic location information in expert's log-on message and the nearest and online expert of presence chosen distance, described presence is divided into online and online, to be set and upload by expert according to actual conditions by the client of oneself.
9. management of bidding evaluation expert method as claimed in claim 8, it is characterized in that, expert and expert party in request consult respectively by respective client communication, and after determining relation between supply and demand, expert party in request is defined in alignment system operator according to reimbursement of expense and pays corresponding system usage charges; After expert completes the assessment of bids, expert party in request pays corresponding fee for showing up according to reimbursement of expense regulation to expert and uses.
10. management of bidding evaluation expert method as claimed in claim 7, it is characterized in that, in step D3, if the key problem in technology word of expert party in request input is non-existent key problem in technology word in key problem in technology dictionary, then this non-existent key problem in technology word adds in key problem in technology dictionary by system.
11. management of bidding evaluation expert methods as claimed in claim 10, it is characterized in that, segmentation experts database server is regularly cleared up the key problem in technology word in described key problem in technology dictionary, if a certain key problem in technology word is not mentioned completely in setting-up time, system is removed automatically.
12. management of bidding evaluation expert methods as claimed in claim 1, it is characterized in that, described log-on message comprises the Real Name of expert, professional domain, telephone number and home geographic location information, expert personal identification papers pros and cons photo, diploma full face, government procurement evaluation expert certificate photo and comprehensive bid evaluation expert certificate photo.
13. management of bidding evaluation expert systems, for applying the management of bidding evaluation expert system of management of bidding evaluation expert method described in requirement 1 ~ 12 any one of having the right, it is characterized in that, comprise general experts database server, segmentation experts database server, interface server and client, described client is by interface server and general experts database server and segment experts database server and be connected, described general experts database server with segment experts database server and be connected;
Described interface server, for general experts database server and the data retransmission between segmentation experts database server and client, for managerial personnel provide management interface.
14. management of bidding evaluation expert systems as claimed in claim 13, it is characterized in that, described client is intelligent mobile terminal or computing machine, and described intelligent mobile terminal is smart mobile phone or panel computer.
CN201510638343.5A 2015-09-30 2015-09-30 Bid evaluation expert management method and system thereof Pending CN105096063A (en)

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CN106952191A (en) * 2017-03-09 2017-07-14 深圳市华第时代科技有限公司 The automatic reviewing method of motion and system
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CN107391918A (en) * 2017-07-10 2017-11-24 北京云峰智联医疗科技开发有限公司 Long-distance intelligent system for distribution of out-patient department and method
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CN109376167A (en) * 2018-09-26 2019-02-22 国家海洋信息中心 Selection of specialists method, apparatus and server
CN110097246A (en) * 2019-03-14 2019-08-06 郭琳琳 Intelligent reviewing method and system, computer installation, computer readable storage medium
CN110956354A (en) * 2019-08-30 2020-04-03 深圳传世智慧科技有限公司 Change management resource matching method, server and change management system
CN111340381A (en) * 2020-03-04 2020-06-26 贵州光奕阳数据技术有限公司 Expert library management system based on weighted average algorithm
CN112598364A (en) * 2020-10-16 2021-04-02 中国环境科学研究院 Expert information management platform based on cloud service
CN112685615A (en) * 2021-01-05 2021-04-20 河北冀联人力资源服务集团有限公司 Intelligent database data processing method and system
CN118014283A (en) * 2024-02-06 2024-05-10 北京中水卓越认证有限公司 Project auditing management method and system based on authentication

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CN107748747B (en) * 2016-08-30 2020-07-03 网易(杭州)网络有限公司 Information searching method and device
CN107748747A (en) * 2016-08-30 2018-03-02 网易(杭州)网络有限公司 A kind of information searching method and device
CN106447293A (en) * 2016-09-28 2017-02-22 佛山科学技术学院 Method and system for implementing double-notification intelligent pushing of commercial registration
CN107067138A (en) * 2016-12-24 2017-08-18 国网福建省电力有限公司 Power Material recruits the electronic accessory system of the assessment of bids
CN106952191A (en) * 2017-03-09 2017-07-14 深圳市华第时代科技有限公司 The automatic reviewing method of motion and system
CN107273700A (en) * 2017-07-10 2017-10-20 北京云峰智联医疗科技开发有限公司 Intelligent remote medical system
CN107273701A (en) * 2017-07-10 2017-10-20 北京云峰智联医疗科技开发有限公司 Intelligent remote medical system
CN107358043A (en) * 2017-07-10 2017-11-17 山东省立医院 Method is examined in intelligent remote medical treatment point
CN107368677A (en) * 2017-07-10 2017-11-21 山东省立医院 Intelligent remote medical treatment system for distribution of out-patient department
CN107391918A (en) * 2017-07-10 2017-11-24 北京云峰智联医疗科技开发有限公司 Long-distance intelligent system for distribution of out-patient department and method
CN107832417A (en) * 2017-11-08 2018-03-23 中国人民解放军海军装备部装备招标中心 A kind of primary election experts database management method and database
CN109376167A (en) * 2018-09-26 2019-02-22 国家海洋信息中心 Selection of specialists method, apparatus and server
CN110097246A (en) * 2019-03-14 2019-08-06 郭琳琳 Intelligent reviewing method and system, computer installation, computer readable storage medium
CN110097246B (en) * 2019-03-14 2023-11-03 郭琳琳 Intelligent review method and system, computer device and computer readable storage medium
CN110956354A (en) * 2019-08-30 2020-04-03 深圳传世智慧科技有限公司 Change management resource matching method, server and change management system
CN111340381A (en) * 2020-03-04 2020-06-26 贵州光奕阳数据技术有限公司 Expert library management system based on weighted average algorithm
CN111340381B (en) * 2020-03-04 2023-06-27 光奕科数据技术有限公司 Expert database management system based on weighting algorithm
CN112598364A (en) * 2020-10-16 2021-04-02 中国环境科学研究院 Expert information management platform based on cloud service
CN112685615A (en) * 2021-01-05 2021-04-20 河北冀联人力资源服务集团有限公司 Intelligent database data processing method and system
CN112685615B (en) * 2021-01-05 2023-11-03 河北冀联人力资源服务集团有限公司 Intelligent database data processing method and system
CN118014283A (en) * 2024-02-06 2024-05-10 北京中水卓越认证有限公司 Project auditing management method and system based on authentication

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